FPIA: A database for gene fusion profiling and interactive analyses.
Int J Cancer 2022;
150:1504-1511. [PMID:
34985769 DOI:
10.1002/ijc.33921]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 12/05/2021] [Accepted: 12/16/2021] [Indexed: 11/09/2022]
Abstract
As one of the hallmarks of cancer, gene fusions play an important role in tumorigenesis, and have been established as biomarkers and therapeutic targets. Although recent years have witnessed the development of gene fusion databases, a tool with interactive analytic functions is still lacking. Here, we introduce FPIA (Fusion Profiling Interactive Analysis), a web server to perform interactive and customizable analysis on fusion genes. With this platform, researchers can easily explore fusion-associated biological and molecular differences including gene expression, tumor purity and ploidy, mutation, copy number variations, protein expression, immune cell infiltration, stemness, telomere length, microsatellite instability, survival, and novel peptides based on 33 cancer types from TCGA data. Currently, it contains 31 633 fusion events from 6910 patients. FPIA complements the existing gene fusion annotation databases with its multi-omics analytic capacity, integrated analysis features, customized analysis selection, and user-friendly design. The comprehensive data analyses by FPIA will greatly facilitate data mining, hypothesis generation, and therapeutic target discovery. FPIA is available at http://bioinfo-sysu.com/fpia.
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